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RTX 6000 vs L40

Explore a head to head comparison of specifications, performance, and pricing.

RTX 6000

The NVIDIA RTX 6000 delivers high-performance computing capabilities for AI, machine learning, and data science applications.

ManufacturerNVIDIA
GPU Architecture
Average Price$0.50/hr
GPU VRAM24 GB
Cloud Availability1 clouds
System Memory46 GB
CPU Cores14
Storage512 GB

L40

The NVIDIA L40 delivers high-performance computing capabilities for AI, machine learning, and data science applications.

ManufacturerNVIDIA
GPU Architecture
Average Price$3.42/hr
GPU VRAM48 GB
Cloud Availability2 clouds
System Memory768 GB
CPU Cores252
Storage6.6 TB

RTX 6000 vs L40: Which Should You Choose?

The L40 offers 48 GB of VRAM — 2× the 24 GB on the RTX 6000 — making it better suited for large model workloads that require holding more parameters in GPU memory. On FP16 throughput, the L40 delivers 90.52 TFLOPS versus 32.62 TFLOPS on the RTX 6000 — 3× faster for mixed-precision training and inference. Memory bandwidth favors the L40 at 0.86 TB/s compared to 0.67 TB/s on the RTX 6000, which directly impacts inference latency for memory-bandwidth-bound models. Architecturally, the RTX 6000 is built on Turing while the L40 uses Ada Lovelace, reflecting different generational capabilities and optimizations. On Shadeform, the RTX 6000 starts from $0.50/hr versus $0.99/hr for the L40 — 98% more expensive — reflecting the performance premium. The L40 is available across 2 cloud providers on Shadeform compared to 1 for the RTX 6000, giving more options for region and pricing flexibility.

RTX 6000 — Best Use Cases

  • Inference and model serving
  • Light training and fine-tuning
  • Graphics and rendering workloads

Choose RTX 6000 when:

  • 24 GB VRAM is sufficient for your workload
  • Cost efficiency is your primary concern
  • Your workload does not require peak FP16 throughput
  • Your preferred provider already has availability

L40 — Best Use Cases

  • LLM inference and model serving
  • Image generation and diffusion models
  • Smaller fine-tuning runs
  • Cost-efficient GPU compute

Choose L40 when:

  • You need 48 GB+ VRAM for large models or long context windows
  • Maximum performance justifies the higher cost
  • You are training large models or running high-throughput inference
  • You need flexibility across multiple cloud providers or regions

See how the RTX 6000 & L40 compare

Compare detailed hardware specifications and average pricing for the RTX 6000 and L40.

Compare Hardware Specifications

RTX 6000L40
GPU Type
RTX 6000
L40
VRAM per GPU
24 GB
48 GB
Manufacturer
NVIDIA
NVIDIA
Architecture
Turing
Ada Lovelace
Interconnect
PCIe Gen3
PCIe Gen4
Memory Bandwidth
672 GB/s
864 GB/s
FP16 TFLOPS
32.62 TFLOPS (2:1)
90.52 TFLOPS (1:1)
CUDA Cores
4608
18176
Tensor Cores
576 (2nd Gen)
568 (4th Gen)
RT Cores
72 (1st Gen)
142 (3rd Gen)
Base Clock
1440 MHz
735 MHz
Boost Clock
1770 MHz
2490 MHz
TDP
295W
300W
Process Node
TSMC 12nm
TSMC 4N
Data Formats
INT8, INT4, FP16, FP32
FP8, INT8, BF16, FP16, TF32, FP32

Compare Average On-Demand Pricing

RTX 6000L40
1 GPU
$0.50 /hr
$0.99 /hr
2 GPUs
N/A
$1.99 /hr
4 GPUs
N/A
$4.98 /hr
8 GPUs
N/A
$8.00 /hr

Frequently Asked Questions: RTX 6000 vs L40

The main differences are VRAM (24 GB vs 48 GB), FP16 throughput (32.62 vs 90.52 TFLOPS), architecture (Turing vs Ada Lovelace). The RTX 6000 uses the Turing architecture while the L40 is based on Ada Lovelace, giving each GPU different generational capabilities.

The L40 is generally better for large language model training due to its higher throughput and 48 GB of VRAM, which allows fitting larger models or larger batch sizes in a single pass. For smaller models or fine-tuning tasks where cost matters more, both GPUs can be effective.

On Shadeform, the RTX 6000 is available from $0.50/hr. The L40 starts from $0.99/hr. Prices vary by provider, region, and contract length. Reserved commitments can reduce hourly costs significantly compared to on-demand pricing.

The L40 has more VRAM at 48 GB, compared to 24 GB on the RTX 6000. Higher VRAM allows you to run larger models without quantization, use longer context windows, and process larger batch sizes — all of which improve throughput and reduce latency for memory-bound workloads.

Based on TFLOPS per dollar, the L40 offers better raw compute value at current Shadeform on-demand rates. However, the best choice depends on your specific workload — if you need the extra VRAM or throughput of the RTX 6000, paying the premium may be justified by faster job completion and lower total cost.

The L40 is currently available across 2 cloud providers on Shadeform's network, compared to 1 for the RTX 6000. Shadeform lets you deploy either GPU across all available providers from a single platform, so you can always find available capacity without manually checking each cloud.

Mixing different GPU types in a single training cluster is generally not recommended, as it creates performance bottlenecks where faster GPUs wait for slower ones. For best results, use a homogeneous cluster of either RTX 6000 or L40. Shadeform supports on-demand clusters of up to 64 GPUs of the same type with no commitment required.

Explore RTX 6000 & L40 Instances

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